Public-Sector Data Science Lead

AlphaHire

. Lead or co-lead public-sector analytics engagements involving forecasting, performance measurement, data quality, dashboards, and implementation support .

Posted 9/24/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in public-sector analytics, including forecasting, performance measurement, and data governance. Proficient in translating complex analytical findings for diverse stakeholders and delivering impactful analytic products.

Highest-signal resume keywords

Public-Sector AnalyticsStatistical LiteracyPythonData GovernanceCloud Data-Warehouse Familiarity

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ScienceQuantitative Public-Policy WorkPerformance MeasurementForecastingAnalytical Methods Documentation

Soft Skills

Clear Writing for Non-Technical AudiencesCollaboration with Domain Experts

Tools & Technologies

Power BITableauLookerBigQuerySnowflakeRedshift

Industry Keywords

Government Administrative DataPrivacy ConstraintsIRB-Adjacent ConstraintsTransit AnalyticsUtility AnalyticsWorkforce AnalyticsEducation Analytics

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudPythonTableau

About the role

Key responsibilities & impact

Lead or co-lead public-sector analytics engagements involving forecasting, performance measurement, data quality, dashboards, and implementation support
Frame analytic questions with domain experts and translate findings for executives and elected or appointed stakeholders
Build reproducible analyses using administrative and public datasets
Document analytical methods and limitations
Advise on data governance, quality controls, and sustainable handoff to agency staff
Contribute technical write-ups, scopes, and proposal content for AlphaGov pursuits
Coordinate with evaluation, LMI/workforce, and operations subject-matter experts when scopes overlap

Requirements

What you’ll need

5+ years applied data science, analytics, or quantitative public-policy work (government, public consulting, or research-to-practice)
Demonstrated delivery of at least two public-sector or quasi-public analytic products (agency, your role, year)
Strong statistical literacy and clear writing for non-technical audiences
Ability to work project-based with AlphaGov as a named collaborator on proposals when permissioned
Python and/or R plus modern BI (Power BI, Tableau, Looker) (nice to have)
Experience with government administrative data, privacy, or IRB-adjacent constraints (nice to have)
Transit, utility, workforce, or education analytics (nice to have)
Cloud data-warehouse familiarity (BigQuery, Snowflake, Redshift) (nice to have)